[HTML][HTML] Radiomics and artificial intelligence for precision medicine in lung cancer treatment

M Chen, SJ Copley, P Viola, H Lu… - Seminars in cancer biology, 2023 - Elsevier
Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …

Artificial intelligence-based prediction of clinical outcome in immunotherapy and targeted therapy of lung cancer

X Yin, H Liao, H Yun, N Lin, S Li, Y Xiang… - Seminars in cancer biology, 2022 - Elsevier
Lung cancer accounts for the main proportion of malignancy-related deaths and most
patients are diagnosed at an advanced stage. Immunotherapy and targeted therapy have …

Radiogenomics: a key component of precision cancer medicine

Z Liu, T Duan, Y Zhang, S Weng, H Xu, Y Ren… - British Journal of …, 2023 - nature.com
Radiogenomics, focusing on the relationship between genomics and imaging phenotypes,
has been widely applied to address tumour heterogeneity and predict immune …

Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …

[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: technical aspects and potential clinical applications

R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …

The application of radiomics in predicting gene mutations in cancer

Y Qi, T Zhao, M Han - European radiology, 2022 - Springer
With the development of genome sequencing, the role of molecular targeted therapy in
cancer is becoming increasingly important. However, genetic testing remains expensive …

Clinical application of AI-based PET images in oncological patients

J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …

Identification and validation of a ferroptosis-related long non-coding RNA signature for predicting the outcome of lung adenocarcinoma

Z Zheng, Q Zhang, W Wu, Y Xue, S Liu, Q Chen… - Frontiers in …, 2021 - frontiersin.org
Background Ferroptosis is a recently recognized type of programmed cell death that is
involved in the biological processes of various cancers. However, the mechanism of …

Differentiating EGFR from ALK mutation status using radiomics signature based on MR sequences of brain metastasis

Y Li, X Lv, B Wang, Z Xu, Y Wang, S Gao… - European Journal of …, 2022 - Elsevier
Purpose More and more small brain metastases (BMs) in asymptomatic patients can be
detected even prior to their primary lung cancer with the development of MRI. The aim of this …

Radiomics-guided radiation therapy: opportunities and challenges

H Abdollahi, E Chin, H Clark, DE Hyde… - Physics in Medicine …, 2022 - iopscience.iop.org
Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …